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Machine Learning Engineer
3 months ago
Toronto, Canada
Full Time
Role HighlightsCUDA
Python
Prompt Engineering
ML Research
Vector Database
Fine Tuning
Knowledge Graphs
Computer Science
API
Distributed Systems
SME
System Design
Data Quality
Deployment
LLMs
Storage
RAG
Infrastructure
AI
Cloud
Optimization
Kernel
Compilers
Microservices
Agile
KPI
Testing
NLP
Tools, Libraries and FrameworksDocker
Terraform
DataBricks
AWS
DescriptionProdigy Labs is hiring a Machine Learning Engineer to develop and deploy machine learning models, particularly large language models (LLMs). The role involves collaborating closely with ML researchers and internal users to build high-performance and reusable APIs, and implementing LLM observability and monitoring solutions. Essential skills include experience with distributed systems, data parallelism, microservices architecture, and optimization techniques like kernel fusion and quantization. Necessary tools and software include Docker, Kubernetes, Terraform, Databricks, and languages such as Python and SQL.
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
Prodigy Labs is a company that utilizes advanced machine learning techniques to provide innovative solutions. Their focus is on accelerating the development and deployment of large language models (LLMs), ensuring high performance and reliability in their products. Prodigy Labs collaborates closely with machine learning researchers to understand requirements and improve their system's efficiency and effectiveness. Their applications include enhancing data storage, managing distributed compute resources, and ensuring the highest quality of data service for their clients.
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